Northbeam MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Northbeam through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"northbeam": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Northbeam, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Northbeam MCP Server
Connect your Northbeam account to your AI agent and gain deep insights into your marketing performance and attribution data through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Northbeam through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Metric Discovery — List all available performance metrics such as Attributed Revenue, Transactions, and Spend.
- Data Breakdowns — Access the labels used to group your data, including Platform, Campaign, Ad Set, and more.
- Attribution Modeling — View supported attribution models to understand how credit is assigned across touchpoints.
- Programmatic Exports — Initialize new data exports for specific date ranges and sets of metrics.
- Export Monitoring — Track the status of your active data exports and retrieve direct download URLs for results.
- Workspace Oversight — Monitor active webhooks, scheduled recurring exports, and recent export history.
- Account Insights — Access high-level configuration, dashboard settings, and authenticated account metadata.
The Northbeam MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Northbeam to LangChain via MCP
Follow these steps to integrate the Northbeam MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Northbeam via MCP
Why Use LangChain with the Northbeam MCP Server
LangChain provides unique advantages when paired with Northbeam through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Northbeam MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Northbeam queries for multi-turn workflows
Northbeam + LangChain Use Cases
Practical scenarios where LangChain combined with the Northbeam MCP Server delivers measurable value.
RAG with live data: combine Northbeam tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Northbeam, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Northbeam tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Northbeam tool call, measure latency, and optimize your agent's performance
Northbeam MCP Tools for LangChain (10)
These 10 tools become available when you connect Northbeam to LangChain via MCP:
create_data_export
Initialize a new data export
get_account_info
Get account metadata
get_dashboard_settings
Get workspace dashboard settings
get_export_status
Check data export status
list_attribution_models
g., Clicks only, Modeled). List supported attribution models
list_breakdowns
g., Platform, Campaign, Ad Set) in attribution reports. List available data breakdowns
list_metrics
g., Attributed Revenue, Transactions, Spend) available for export. List available attribution metrics
list_recent_exports
List recently completed exports
list_scheduled_exports
List scheduled data exports
list_webhooks
List active webhooks
Example Prompts for Northbeam in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Northbeam immediately.
"List all the performance metrics available for export in my Northbeam account."
"Check the status of data export ID 'exp_12345'."
"Show me my recent data export history."
Troubleshooting Northbeam MCP Server with LangChain
Common issues when connecting Northbeam to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNorthbeam + LangChain FAQ
Common questions about integrating Northbeam MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Northbeam with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Northbeam to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.